Support vector machine based classification for hyperspectral remote sensing images after minimum noise fraction rotation transformation

Proceedings - 2011 International Conference on Internet Computing and Information Services, ICICIS 2011

Volumn , Issue , 2011, Pages 132-135

  Denghui, Zhang ^a   Le, Yu ^b  

^a ZHEJIANG SHUREN UNIVERSITY   (China)

^b ZHEJIANG UNIVERSITY   (China)

Author keywords

hyperspectral; MNF; remote senisng; SVM

Indexed keywords

CLASSIFICATION ACCURACY; CLASSIFICATION ERRORS; COMPONENT SELECTION; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL; HYPERSPECTRAL DATA; HYPERSPECTRAL REMOTE SENSING IMAGE; MINIMUM NOISE FRACTION; MNF; OPTIMAL NUMBER; REMOTE SENISNG; ROTATION TRANSFORMATION; SVM; TARGET CLASS;

IMAGE RECONSTRUCTION; INFORMATION SERVICES; INTERNET; REMOTE SENSING; ROTATION;

SUPPORT VECTOR MACHINES;

EID: 81455155735     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICIS.2011.39     Document Type: Conference Paper

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